654 search results - page 7 / 131 » TRUST-TECH based Methods for Optimization and Learning |
103
Voted
JMLR
2008
15 years 17 days ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
109
Voted
SEAL
1998
Springer
15 years 4 months ago
1998
Springer
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
107
Voted
ICML
1998
IEEE
16 years 1 months ago
1998
IEEE
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
134
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CORR
2012
Springer
13 years 8 months ago
2012
Springer
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
95
Voted
NIPS
2007
15 years 2 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...